Companies Home Search Profile

Build Machine Learning Models with Azure Machine Learning Designer

Focused View

Dayo Bamikole

1:09:35

9 View
  • 01. Course Overview.mp4
    01:26
  • 01. Introduction.mp4
    00:32
  • 02. Azure Machine Learning Pipelines.mp4
    02:23
  • 03. Azure Machine Learning Designer.mp4
    02:04
  • 04. Azure Machine Learning Compute.mp4
    04:10
  • 05. Demo- Setting up Azure ML Designer.mp4
    05:32
  • 06. Conclusion.mp4
    00:31
  • 01. Introduction.mp4
    00:35
  • 02. Ingestion Options in Azure ML Designer.mp4
    01:40
  • 03. Connectivity to Azure Data Stores.mp4
    01:36
  • 04. Types of Datset in Azure ML.mp4
    01:07
  • 05. Demo- Working with Data in Azure ML Studio.mp4
    09:09
  • 06. Conclusion.mp4
    00:24
  • 01. Introduction.mp4
    00:31
  • 02. Understanding Modules in Azure ML Designer.mp4
    01:18
  • 03. Using Modules in Azure ML Designer.mp4
    02:23
  • 04. Demo- Using Modules in Azure ML Designer.mp4
    06:54
  • 05. Demo- Execute Python Code.mp4
    03:56
  • 06. Conclusion.mp4
    00:33
  • 01. Introduction.mp4
    00:30
  • 02. What Are ML Algorithms-.mp4
    02:03
  • 03. Azure ML Cheatsheet.mp4
    02:02
  • 04. Connecting Algorithms to in ML Designer.mp4
    03:04
  • 05. Demo- Algorithms in Azure ML Designer.mp4
    03:29
  • 06. Conclusion.mp4
    00:29
  • 01. Introduction.mp4
    00:32
  • 02. Release Models in Azure ML Designer.mp4
    01:19
  • 03. Deploy and Publish in Azure ML Designer.mp4
    01:09
  • 04. Demo- Deploy a Model in Azure ML Designer.mp4
    05:01
  • 05. Demo - Publish a Model in Azure ML Designer.mp4
    01:46
  • 06. Conclusion.mp4
    01:27
  • Description


    Welcome to Build ML Models with Azure ML Designer. This course will teach you how to leverage a user friendly and visually appealing tool to accomplish Machine Learning Projects.

    What You'll Learn?


      Creating Machine Learning Projects can be a bit tasking due to the high barrier of understanding Machine Learning languages and ability to debug when issue arise. In this course, Building Machine Learning Models with Azure Machine Learning Designer, you’ll learn to use drag and drop features to create an end-to-end machine learning pipeline for your ML Models. First, you’ll explore how to setup your ML pipeline in the Azure Machine Learning Studio. Then, you’ll learn how to ingest and transform different datasets formats. Finally, you’ll learn how to create models and make predictions in preparation to deploy the model. When you’re finished with this course, you’ll have the skills and knowledge of Building Models with Azure Machine Learning Designer needed to create effective Machine Learning Models.

    More details


    User Reviews
    Rating
    0
    0
    0
    0
    0
    average 0
    Total votes0
    Focused display
    Dayo Bamikole
    Dayo Bamikole
    Instructor's Courses
    Dayo is a Technology Specialist with expertise in Cloud Data Solutions, Artificial intelligence, and Web Development. Dayo has traveled around the United States delivering workshops on technical services in the workplace, in over 35 states, as well as Europe. The audience for these workshops varies from Database Administrators to Software Developers. Ifedayo holds several certifications in Azure, such as: Azure Data Engineer, Azure Data Scientist, Azure AI Engineer, Google Cloud Fundamentals and AWS Solutions Architect. Dayo enjoys giving presentations on technology solutions related to real-world activities.
    Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.
    • language english
    • Training sessions 31
    • duration 1:09:35
    • level average
    • English subtitles has
    • Release Date 2024/02/13